package com.atguigu.gulimall.search.service.impl;

import com.alibaba.fastjson.JSON;
import com.alibaba.fastjson.TypeReference;
import com.atguigu.gulimall.search.config.GulimallElasticSearchConfig;
import com.atguigu.gulimall.search.constant.EsConstant;
import com.atguigu.gulimall.search.feign.ProductFeignService;
import com.atguigu.gulimall.search.service.MallSearchService;
import com.atguigu.gulimall.search.vo.AttrResponseVo;
import com.atguigu.gulimall.search.vo.BrandVo;
import com.atguigu.gulimall.search.vo.SearchParam;
import com.atguigu.gulimall.search.vo.SearchResult;
import com.tjh.common.to.es.SkuEsModel;
import com.tjh.common.utils.R;
import org.apache.lucene.search.join.ScoreMode;
import org.elasticsearch.action.search.SearchRequest;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.client.RestHighLevelClient;
import org.elasticsearch.index.query.BoolQueryBuilder;
import org.elasticsearch.index.query.NestedQueryBuilder;
import org.elasticsearch.index.query.QueryBuilders;
import org.elasticsearch.index.query.RangeQueryBuilder;
import org.elasticsearch.search.SearchHit;
import org.elasticsearch.search.SearchHits;
import org.elasticsearch.search.aggregations.AggregationBuilders;
import org.elasticsearch.search.aggregations.bucket.nested.NestedAggregationBuilder;
import org.elasticsearch.search.aggregations.bucket.nested.ParsedNested;
import org.elasticsearch.search.aggregations.bucket.terms.ParsedLongTerms;
import org.elasticsearch.search.aggregations.bucket.terms.ParsedStringTerms;
import org.elasticsearch.search.aggregations.bucket.terms.Terms;
import org.elasticsearch.search.aggregations.bucket.terms.TermsAggregationBuilder;
import org.elasticsearch.search.builder.SearchSourceBuilder;
import org.elasticsearch.search.fetch.subphase.highlight.HighlightBuilder;
import org.elasticsearch.search.fetch.subphase.highlight.HighlightField;
import org.elasticsearch.search.sort.SortOrder;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Service;
import org.springframework.util.StringUtils;

import java.io.IOException;
import java.io.UnsupportedEncodingException;
import java.net.URLEncoder;
import java.util.ArrayList;
import java.util.List;
import java.util.stream.Collectors;

/**
 * Create by koala on 2021-04-11
 * day84：
 *    ES检索商品的检索DSL的代码实现
 * 测试：
 *      1、浏览器中访问：
 *          http://localhost:12000/list.html?keyword=华为&catalog3Id=225&attrs=15_海思（Hisilicon）:A13&attrs=16_HUAWEI Kirin 970&skuPrice=600_
 *      2、GET gulimall_product/_search 拼接控制台中输出的 "构建的DSL:" 后面的DSL语句 复制到kibana面板中并Auto indent格式化
 *      3、在kibana面板中执行该DSL语句，并查看结果数据
 */
@Service
public class MallSearchServiceImpl implements MallSearchService {

    @Autowired
    RestHighLevelClient client;

    @Autowired
    ProductFeignService productFeignService;

    //day84
    @Override
    public SearchResult search(SearchParam param) {
        SearchResult result = null;
        //1.动态构建出查询需要的dsl语句
        //1.准备检索请求
        SearchRequest searchRequest = buildSearchRequest(param);
        try {
            //2.执行检索请求
            SearchResponse response = client.search(searchRequest, GulimallElasticSearchConfig.COMMON_OPTIONS);
            //3.分析响应数据封装成我们需要的格式
            result = buildSearchResult(response, param);
        } catch (IOException e) {
            e.printStackTrace();
        }

        return result;
    }

    /**
     * day85：
     *  构建结果数据
     * 测试：
     *      1、浏览器中访问：
     *          http://localhost:12000/list.html?keyword=华为&catalog3Id=225&attrs=15_海思（Hisilicon）:A13&attrs=16_HUAWEI Kirin 970&skuPrice=600_
     *      2、断点查看具体封装过程
     */
    private SearchResult buildSearchResult(SearchResponse response, SearchParam param) {
        SearchResult result = new SearchResult();
        SearchHits hits = response.getHits();
        //1.返回的所有查询到的商品 result.setProducts()
        List<SkuEsModel> esModels = new ArrayList<>();
        if (hits.getHits() != null && hits.getHits().length > 0) {
            for (SearchHit hit : hits.getHits()) {
                String sourceAsString = hit.getSourceAsString();
                SkuEsModel esModel = JSON.parseObject(sourceAsString, SkuEsModel.class);
                if (!StringUtils.isEmpty(param.getKeyword())) {
                    HighlightField skuTitle = hit.getHighlightFields().get("skuTitle");
                    String str = skuTitle.getFragments()[0].string();
                    esModel.setSkuTitle(str);
                }
                esModels.add(esModel);
            }
        }
        result.setProducts(esModels);
        //2.当前所有商品涉及到的所有属性信息
        List<SearchResult.AttrVo> attrVos = new ArrayList<>();
        ParsedNested attr_agg = response.getAggregations().get("attr_agg");
        ParsedLongTerms attr_id_gg = attr_agg.getAggregations().get("attr_id_agg");
        for (Terms.Bucket bucket : attr_id_gg.getBuckets()) {
            SearchResult.AttrVo attrVo = new SearchResult.AttrVo();
            attrVo.setAttrId(bucket.getKeyAsNumber().longValue());
            String attrName = ((ParsedStringTerms) bucket.getAggregations().get("attr_name_agg")).getBuckets().get(0).getKeyAsString();
            List<String> attrValues = ((ParsedStringTerms) bucket.getAggregations().get("attr_value_agg")).getBuckets()
                    .stream().map(item -> {
                        String keyAsString = item.getKeyAsString();
                        return keyAsString;
                    }).collect(Collectors.toList());
            attrVo.setAttrName(attrName);
            attrVo.setAttrValue(attrValues);
            attrVos.add(attrVo);
        }
        result.setAttrs(attrVos);
        //3.当前所有商品涉及到的所有品牌信息
        List<SearchResult.BrandVo> brandVos = new ArrayList<>();
        ParsedLongTerms brand_agg = response.getAggregations().get("brand_agg");
        for (Terms.Bucket bucket : brand_agg.getBuckets()) {
            SearchResult.BrandVo brandVo = new SearchResult.BrandVo();
            //获取品牌id
            brandVo.setBrandId(bucket.getKeyAsNumber().longValue());
            //获取品牌名称
            String brand_name_agg = ((ParsedStringTerms) bucket.getAggregations().get("brand_name_agg")).getBuckets().get(0).getKeyAsString();
            //获取品牌照片
            String brand_img_agg = ((ParsedStringTerms) bucket.getAggregations().get("brand_img_agg")).getBuckets().get(0).getKeyAsString();
            brandVo.setBrandName(brand_name_agg);
            brandVo.setBrandImg(brand_img_agg);
            brandVos.add(brandVo);
        }
        result.setBrands(brandVos);
        //4.当前所有商品涉及到的所有分类信息
        ParsedLongTerms catalog_agg = response.getAggregations().get("catalog_agg");
        List<SearchResult.CatalogVo> catalogVos = new ArrayList<>();
        List<? extends Terms.Bucket> buckets = catalog_agg.getBuckets();
        for (Terms.Bucket bucket : buckets) {
            SearchResult.CatalogVo catalogVo = new SearchResult.CatalogVo();
            //得到分类id
            String keyAsString = bucket.getKeyAsString();
            catalogVo.setCatalogId(Long.parseLong(keyAsString));
            //得到分类名
            ParsedStringTerms catalog_name_agg = bucket.getAggregations().get("catalog_name_agg");
            String catalog_name = catalog_name_agg.getBuckets().get(0).getKeyAsString();
            catalogVo.setCatalogName(catalog_name);
            catalogVos.add(catalogVo);
        }
        result.setCatalogs(catalogVos);
        //=================== 以上从聚合信息中获取 ======================
        //5.分页信息--页码
        result.setPageNum(param.getPageNum());
        //5.分页信息--总记录数
        long total = hits.getTotalHits().value;
        result.setTotal(total);
        //5.分页信息--总页码
        int totalPages = (int) total % EsConstant.PRODUCT_PAGE_SIZE == 0 ? (int) total / EsConstant.PRODUCT_PAGE_SIZE : (int) total / EsConstant.PRODUCT_PAGE_SIZE + 1;
        result.setTotalPages(totalPages);

        List<Integer> pageNavs = new ArrayList<>();
        for (int i = 1; i <= totalPages; i++) {
            pageNavs.add(i);
        }
        result.setPageNavs(pageNavs);

        //day87：6.构建面包屑导航功能
        if (param.getAttrs() != null && param.getAttrs().size() > 0) {
            List<SearchResult.NavVo> collect = param.getAttrs().stream().map(attr -> {
                //1.分析每个attrs传过来的查询参数值
                SearchResult.NavVo navVo = new SearchResult.NavVo();
                //attrs=2_5寸：6寸
                String[] s = attr.split("_");
                navVo.setNavValue(s[1]);
                R r = productFeignService.info(Long.parseLong(s[0]));
                result.getAttrIds().add(Long.parseLong(s[0]));
                if (r.getCode() == 0) {
                    AttrResponseVo data = r.getData("attr", new TypeReference<AttrResponseVo>() {});
                    navVo.setNavName(data.getAttrName());
                } else {
                    navVo.setNavName(s[0]);
                }
                //2.取消了面包屑以后，要跳转到哪个地方  ==>将请求地址的url里面的当前置空
                //拿到所有的查询条件，去掉当前
                //字符编码转换
                String replace = replaceQueryString(param, attr, "attrs");
                navVo.setLink("http://search.gulimall.com/list.html?" + replace);
                return navVo;
            }).collect(Collectors.toList());
            result.setNavs(collect);
            //day88：品牌、分类
            if (param.getBrandId() != null && param.getBrandId().size() > 0) {
                List<SearchResult.NavVo> navs = result.getNavs();
                SearchResult.NavVo navVo = new SearchResult.NavVo();
                navVo.setNavName("品牌");
                // TODO: 2020/9/23 远程查询所有品牌
                R r = productFeignService.brandsInfo(param.getBrandId());
                if (r.getCode() == 0) {
                    List<BrandVo> brand = r.getData("brand", new TypeReference<List<BrandVo>>() {
                    });
                    StringBuffer buffer = new StringBuffer();
                    String replace = "";
                    for (BrandVo brandVo : brand) {
                        buffer.append(brandVo.getBrandName() + ";");
                        replace = replaceQueryString(param, brandVo.getBrandId() + "", "brandId");
                    }

                    navVo.setNavValue(buffer.toString());
                    navVo.setLink("http://search.gulimall.com/list.html?" + replace);
                }
                navs.add(navVo);
            }
            // TODO: 2020/9/23 分类  不需要导航取消
        }

        return result;
    }

    private String replaceQueryString(SearchParam param, String value, String key) {
        String encode = null;
        try {
            encode = URLEncoder.encode(value, "UTF-8");
            encode = encode.replace("+", "%20");//浏览器对空格编码和Java不一样
        } catch (UnsupportedEncodingException e) {
            e.printStackTrace();
        }
        return param.get_queryString().replace("&" + key + "=" + encode, "");
    }

    /**
     * 准备检索请求
     * #模糊匹配、过滤（按照属性、分类、品牌、价格区间、库存），排序，分页，高亮，聚合分析
     *
     * @return
     */
    private SearchRequest buildSearchRequest(SearchParam param) {
        //构建DSL语句
        SearchSourceBuilder sourceBuilder = new SearchSourceBuilder();
        /**
         * 模糊匹配、过滤（按照属性、分类、品牌、价格区间、库存）
         */
        //1.构建boolquery
        BoolQueryBuilder boolQuery = QueryBuilders.boolQuery();
        //1.1 must---模糊匹配
        if (!StringUtils.isEmpty(param.getKeyword())) {
            boolQuery.must(QueryBuilders.matchQuery("skuTitle", param.getKeyword()));
        }
        //1.2 bool -filter -按照三级分类id查询
        if (param.getCatalog3Id() != null) {
            boolQuery.filter(QueryBuilders.termQuery("catalogId", param.getCatalog3Id()));
        }
        //1.2 bool -filter -按照品牌id进行查询
        if (param.getBrandId() != null && param.getBrandId().size() > 0) {
            System.out.println("===========>" + param.getBrandId());
            List<Long> brands = param.getBrandId();
            String jsonString = JSON.toJSONString(brands);
            jsonString = jsonString.replace("[", "").replace("]", "");
            System.out.println("===========>jsonString:" + jsonString);
            boolQuery.filter(QueryBuilders.termQuery("brandId", jsonString));
        }
        //1.2 bool -filter -按照所有指定的属性进行查询
        if (param.getAttrs() != null && param.getAttrs().size() > 0) {

            for (String attrStr : param.getAttrs()) {
                //attrs=1_5寸:8寸&attrs=2_8G:16G
                BoolQueryBuilder nestedboolQuery = QueryBuilders.boolQuery();
                String[] s = attrStr.split("_");
                String attrId = s[0];//检索的属性id
                String[] attrValues = s[1].split(":");//这个属性检索用的值
                nestedboolQuery.must(QueryBuilders.termQuery("attrs.attrId", attrId));
                nestedboolQuery.must(QueryBuilders.termsQuery("attrs.attrValue", attrValues));
                //每一个必须都生成一个nested查询
                NestedQueryBuilder nestedQuery = QueryBuilders.nestedQuery("attrs", nestedboolQuery, ScoreMode.None);
                boolQuery.filter(nestedQuery);
            }

        }
        //1.2 bool -filter -按照是否有库存进行查询
        if (param.getHasStock() != null) {
            boolQuery.filter(QueryBuilders.termQuery("hasStock", param.getHasStock() == 1));
        }
        //1.2 bool -filter -按照价格区间进行查询
        //1_500/_500/500_
        /**
         * "rang":{
         *     "skuPrice":{
         *         "gte":0,
         *         "lte::6000
         *     }
         * }
         */
        if (!StringUtils.isEmpty(param.getSkuPrice())) {
            RangeQueryBuilder rangeQuery = QueryBuilders.rangeQuery("skuPrice");
            String[] s = param.getSkuPrice().split("_");
            if (s.length == 2) {
                //区间
                rangeQuery.gte(s[0]).lte(s[1]);
            } else if (s.length == 1) {
                if (param.getSkuPrice().startsWith("_")) {
                    rangeQuery.lte(s[0]);
                }
                if (param.getSkuPrice().endsWith("_")) {
                    rangeQuery.gte(s[0]);
                }
            }
            boolQuery.filter(rangeQuery);
        }

        //把以前所有的条件都拿来进行封装
        sourceBuilder.query(boolQuery);
        /**
         * 排序，分页，高亮
         */
        //2.1 排序
        if (!StringUtils.isEmpty(param.getSort())) {
            String sort = param.getSort();
            //sort=saleCount_asc/desc
            String[] s = sort.split("_");
            SortOrder order = s[1].equalsIgnoreCase("asc") ? SortOrder.ASC : SortOrder.DESC;
            sourceBuilder.sort(s[0], order);
        }
        //2.2分页
        sourceBuilder.from((param.getPageNum() - 1) * EsConstant.PRODUCT_PAGE_SIZE);
        sourceBuilder.size(EsConstant.PRODUCT_PAGE_SIZE);
        //2.3高亮
        if (!StringUtils.isEmpty(param.getKeyword())) {
            HighlightBuilder builder = new HighlightBuilder();
            builder.field("skuTitle");
            builder.preTags("<b style='color:red'>");
            builder.postTags("</b>");
            sourceBuilder.highlighter(builder);
        }

        /**
         * 聚合分析
         */
        //1.品牌聚合
        TermsAggregationBuilder brand_agg = AggregationBuilders.terms("brand_agg").field("brandId").size(10);
        //品牌聚合的子聚合
        brand_agg.subAggregation(AggregationBuilders.terms("brand_name_agg").field("brandName").size(1));
        brand_agg.subAggregation(AggregationBuilders.terms("brand_img_agg").field("brandImg").size(1));
        sourceBuilder.aggregation(brand_agg);
        //2.分类聚合
        TermsAggregationBuilder catalog_agg = AggregationBuilders.terms("catalog_agg").field("catalogId").size(20);
        catalog_agg.subAggregation(AggregationBuilders.terms("catalog_name_agg").field("catalogName").size(1));
        sourceBuilder.aggregation(catalog_agg);
        //3.属性聚合
        NestedAggregationBuilder attr_agg = AggregationBuilders.nested("attr_agg", "attrs");
        //聚合出当前所有的attrId
        TermsAggregationBuilder attr_id_agg = AggregationBuilders.terms("attr_id_agg").field("attrs.attrId");
        //聚合分析出当前attr_id对应的名字
        attr_id_agg.subAggregation(AggregationBuilders.terms("attr_name_agg").field("attrs.attrName").size(1));
        //聚合分析出当前attr_id对应的所有可能的属性值attrValue
        attr_id_agg.subAggregation(AggregationBuilders.terms("attr_value_agg").field("attrs.attrValue").size(50));
        attr_agg.subAggregation(attr_id_agg);
        sourceBuilder.aggregation(attr_agg);

        System.out.println("构建的DSL:" + sourceBuilder.toString());
        SearchRequest searchRequest = new SearchRequest(new String[]{EsConstant.PRODUCT_INDEX}, sourceBuilder);

        return searchRequest;
    }
}
